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Day Shift Remote Data Annotation Jobs in Virginia

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote opportunities available in the following ...

Data Scientist

Springfield, VA · Remote

$120K - $160K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI Clearance Level Must Be Able to Obtain: TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Medical, dental, and vision coverage beginning your first day of employment * 401(k) with company ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Medical, dental, and vision coverage beginning your first day of employment * 401(k) with company ...

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to ...

Metrics and Data Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI Clearance Level Must Be Able to Obtain: TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE ...

AI Data Engineer

Fort Belvoir, VA · On-site +1

$120K - $160K/yr

Database Engr Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ...

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Day Shift Remote Data Annotation information

What are the key skills and qualifications needed to thrive as a Day Shift Remote Data Annotation Specialist, and why are they important?

To excel as a Day Shift Remote Data Annotation Specialist, strong attention to detail, a solid understanding of data labeling concepts, and basic computer literacy are essential, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data management tools, and sometimes knowledge of specific industry standards or guidelines is typically expected. Excellent time management, communication skills, and the ability to work independently make candidates stand out in this remote role. These capabilities ensure accuracy, efficiency, and reliability in processing and labeling data, which are critical for the quality of machine learning and AI projects.

What is the difference between Day Shift Remote Data Annotation vs Day Shift Remote Data Labeling?

AspectDay Shift Remote Data AnnotationDay Shift Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageTech, AI, Machine LearningTech, AI, Machine Learning
Job FocusAdding annotations to datasetsApplying labels to datasets

Both roles involve working remotely in tech and AI industries, requiring similar skills. Data annotation typically involves marking specific features in data, while data labeling focuses on assigning categories. The main difference lies in the terminology and specific task details, but both are essential for training AI models.

What are some common challenges faced by remote data annotation professionals working day shifts, and how can they be managed?

Remote data annotation professionals on day shifts often encounter challenges such as staying focused during repetitive tasks, maintaining high accuracy, and managing communication across distributed teams. To address these, it's helpful to establish a structured daily routine, take regular short breaks to reduce eye strain and fatigue, and use productivity tools to track progress. Proactive communication with team members and supervisors—using chat platforms or regular video check-ins—also helps ensure alignment on project guidelines and fosters a collaborative remote work environment.

What is a Day Shift Remote Data Annotation job?

A Day Shift Remote Data Annotation job involves labeling or tagging data—such as images, text, audio, or video—so that it can be used to train machine learning models. This work is performed remotely, generally during regular daytime business hours. Data annotators follow specific guidelines to ensure accuracy and consistency, making their work crucial for the development of artificial intelligence systems. Some common tasks include identifying objects in images or transcribing spoken words in audio files. The role typically requires attention to detail and basic computer skills, but extensive technical expertise is usually not required.
What are the most commonly searched types of Shift Remote Data Annotation jobs in Virginia? The most popular types of Shift Remote Data Annotation jobs in Virginia are:
What job categories do people searching Day Shift Remote Data Annotation jobs in Virginia look for? The top searched job categories for Day Shift Remote Data Annotation jobs in Virginia are:
What cities in Virginia are hiring for Day Shift Remote Data Annotation jobs? Cities in Virginia with the most Day Shift Remote Data Annotation job openings:

Remote Video Annotators

Barker Staffing Solutions LLC

Hampton, VA • Remote

Full-time

Posted 15 days ago


Job description

Location: Remote (U.S.-based preferred or strong familiarity with U.S. curriculum)
Type: 1099 Contract
Hours: Minimum 40 hours/week
Compensation: Competitive hourly rate based on experience and role

About the Role:

The client is a NYC-based non-profit with a social mission to lift economically and socially marginalized youth out of poverty in Asia and Africa. Using impact-based outsourcing, they create sustainable, living-wage jobs by providing data-labeling and annotation services for training datasets used in Computer Vision and GenAI applications.

The client is seeking dynamic, passionate, detail-oriented, and self-motivated individuals who enjoy providing annotation services. This position is ideal for self-starters with customer-facing etiquette, good communication skills, and a strong work ethic.

Position: Video Annotator (Traffic & Behavioral)

Responsibilities for the Retrieval Benchmark Annotation Project:
Perform multi-dimensional scene annotation for autonomous driving data. As an annotator, go beyond object labeling and perform structured classification, behavioral analysis, and apply causal reasoning.
Apply Advanced Annotation Capability by using the following skills:

Use your experience with annotation tools (segmentation, object tracking, timelines)
Apply complex taxonomies and attribute structures
Deploy accurate frame-level updates and lifecycle management of annotations
Scene Interpretation & Spatial Awareness by using the following skills:
Use your strong understanding of road environments and layouts
Identify road types, traffic infrastructure, and conditions
Demonstrate accurate perception of relative positioning and spatial relationships

Apply Behavioral & Causal Reasoning in the following tasks:

Interpret why events occur, not just what is visible
Identify relationships between ego vehicle, environment, and agents
Create logical links between entities

Apply Temporal Analysis with the following tasks:

Track changes over time within a scene
Update attributes dynamically as scenes evolve

Use Traffic Knowledge & Driving Judgment by using the following skills:

Strong understanding of traffic rules and right-of-way principles
Use discerning ability to assess legal vs illegal and safe vs aggressive behavior

Apply Multi-Agent Interaction Understanding when performing the following tasks:

Analyzing interactions between vehicles, pedestrians, objects, and the environment
Understanding and determining the influence and dependency between actors
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by federal, state, or local laws.

Why Join Us?
  • 100% remote, flexible work scheduled based on the client's needs

  • Be part of a collaborative, mission-driven project
  • Work with a team that values your educational expertise